Literature DB >> 17457872

Spectral phase-corrected GRAPPA reconstruction of three-dimensional echo-planar spectroscopic imaging (3D-EPSI).

Xiaoping Zhu1, Andreas Ebel, Jim X Ji, Norbert Schuff.   

Abstract

MR spectroscopic (MRS) images from a large volume of brain can be obtained using a 3D echo-planar spectroscopic imaging (3D-EPSI) sequence. However, routine applications of 3D-EPSI are still limited by a long scan time. In this communication, a new approach termed "spectral phase-corrected generalized autocalibrating partially parallel acquisitions" (SPC-GRAPPA) is introduced for the reconstruction of 3D-EPSI data to accelerate data acquisition while preserving the accuracy of quantitation of brain metabolites. In SPC-GRAPPA, voxel-by-voxel spectral phase alignment between metabolite 3D-EPSI from individual coil elements is performed in the frequency domain, utilizing the whole spectrum from interleaved water reference 3D-EPSI for robust estimation of the zero-order phase correction. The performance of SPC-GRAPPA was compared with that of fully encoded 3D-EPSI and conventional GRAPPA. Analysis of whole-brain 3D-EPSI data reconstructed by SPC-GRAPPA demonstrates that SPC-GRAPPA with an acceleration factor of 1.5 yields results very similar to those obtained by fully encoded 3D-EPSI, and is more accurate than conventional GRAPPA. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17457872     DOI: 10.1002/mrm.21217

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  20 in total

1.  A radial self-calibrated (RASCAL) generalized autocalibrating partially parallel acquisition (GRAPPA) method using weight interpolation.

Authors:  Noel C F Codella; Pascal Spincemaille; Martin Prince; Yi Wang
Journal:  NMR Biomed       Date:  2010-12-28       Impact factor: 4.044

2.  Fast parallel spiral chemical shift imaging at 3T using iterative SENSE reconstruction.

Authors:  Dirk Mayer; Dong-Hyun Kim; Daniel M Spielman; Roland Bammer
Journal:  Magn Reson Med       Date:  2008-04       Impact factor: 4.668

Review 3.  Recent advances in parallel imaging for MRI.

Authors:  Jesse Hamilton; Dominique Franson; Nicole Seiberlich
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2017-05-02       Impact factor: 9.795

Review 4.  Clinical Applications of Magnetic Resonance Spectroscopy in Brain Tumors: From Diagnosis to Treatment.

Authors:  Brent D Weinberg; Manohar Kuruva; Hyunsuk Shim; Mark E Mullins
Journal:  Radiol Clin North Am       Date:  2021-03-23       Impact factor: 2.303

5.  Reproducibility and reliability of short-TE whole-brain MR spectroscopic imaging of human brain at 3T.

Authors:  Xiao-Qi Ding; Andrew A Maudsley; Mohammad Sabati; Sulaiman Sheriff; Paulo R Dellani; Heinrich Lanfermann
Journal:  Magn Reson Med       Date:  2014-03-26       Impact factor: 4.668

Review 6.  Strategies for rapid in vivo 1H and hyperpolarized 13C MR spectroscopic imaging.

Authors:  Sarah J Nelson; Eugene Ozhinsky; Yan Li; Il woo Park; Jason Crane
Journal:  J Magn Reson       Date:  2013-02-08       Impact factor: 2.229

7.  3D sensitivity encoded ellipsoidal MR spectroscopic imaging of gliomas at 3T.

Authors:  Esin Ozturk-Isik; Albert P Chen; Jason C Crane; Wei Bian; Duan Xu; Eric T Han; Susan M Chang; Daniel B Vigneron; Sarah J Nelson
Journal:  Magn Reson Imaging       Date:  2009-09-19       Impact factor: 2.546

8.  Magnetic resonance spectroscopic imaging in the era of pseudoprogression and pseudoresponse in glioblastoma patient management.

Authors:  Hyunsuk Shim; Chad A Holder; Jeffrey J Olson
Journal:  CNS Oncol       Date:  2013-09

9.  Impact of reduced k-space acquisition on pathologic detectability for volumetric MR spectroscopic imaging.

Authors:  Mohammad Sabati; Jiping Zhan; Varan Govind; Kristopher L Arheart; Andrew A Maudsley
Journal:  J Magn Reson Imaging       Date:  2013-04-04       Impact factor: 4.813

10.  Quantitative SENSE-MRSI of the human brain.

Authors:  David Bonekamp; Mari A Smith; He Zhu; Peter B Barker
Journal:  Magn Reson Imaging       Date:  2010-01-04       Impact factor: 2.546

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